The (excellent!) LearnR blog had a post today about making a rose plot in
ggplot2.

Following today’s announcement, by Ian Fellows, regarding the release of the new version of Deducer (0.4) offering a strong support for ggplot2 using a GUI plot builder, Ian also sent an e-mail where he shows how to create a rose plot using the new ggplot2 GUI included in the latest version of Deducer. After the template is made, the plot can be generated with 4 clicks of the mouse.

Here is a video tutorial (Ian published) to show how this can be used:

The generated template file is available at:
http://neolab.stat.ucla.edu/cranstats/rose.ggtmpl

I am excited about the work Ian is doing, and hope to see more people publish use cases with Deducer.

Ian fellows, a hard working contributer to the R community (and a cool guy), has announced today the release of Deducer (0.4) to CRAN (scheduled to update in the next day or so).
This major update also includes the release of a new plug-in package (DeducerExtras), containing additional dialogs and functionality.

Following is the e-mail he sent out with all the details and demo videos.

Deducer

Deducer is designed to be a free easy to use alternative to proprietary data analysis software such as SPSS, JMP, and Minitab. It has a menu system to do common data manipulation and analysis tasks, and an excel-like spreadsheet in which to view and edit data frames. The goal of the project is two fold.

Provide an intuitive interface so that non-technical users can learn and perform analyses without programming getting in their way.
Increase the efficiency of expert R users when performing common tasks by replacing hundreds of keystrokes with a few mouse clicks. Also, as much as possible the GUI should not get in their way if they just want to do some programming.
Deducer is designed to be used with the Java based R console JGR, though it supports a number of other R environments (e.g. Windows RGUI and RTerm).

For those not familiar with Deducer, an online manual is available at: http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual

An introductory tour of Deducer (4.5 min):

There is also an “expert users introsuction” (8 min)

ggplot2 Plot Builder

The major change to Deducer is the inclusion of a new plotting GUI built on the ggplot2 package. This Google Summer of Code project provides an easy to use system to make anything from simple histograms, to custom publication ready graphics. Feel free to check out the video introduction:

Part 1 (6 min):

Part 2 (6 min):

Additional videos:
Templates (5 min):

Extending the Builder (4 min):

Deducer Extras

The DeducerExtras package is an add-on package containing a variety of additional analysis dialogs. These include:

• Distribution quantiles
• Single/multiple sample proportion tests
• Paired t-test, and wilcoxon signed rank test
• Levene’s test and bartlett’s test
• K-means clustering
• Hierarchical clustering
• Factor analysis
• Multi-dimensional scaling

Introduction to Deducer Extras (~2 min):

Final thanks

I would like to take this opportunity to thank the R community for choosing this project for a Google Summer of Code grant, and for the support and encouragement. In particular I would like to thank Hadley Wickham for mentoring the Plot Builder GUI, and Dirk Eddelbuettel for his organization of students and mentors.

Good news.

Jeroen Ooms released a new version of his (amazing) online ggplot2 web interface:

yeroon.net/ggplot2 is a web interface for Hadley Wickham’s R package ggplot2. It is used as a tool for rapid prototyping, exploratory graphical analysis and education of statistics and R. The interface is written completely in javascript, therefore there is no need to install anything on the client side: a standard browser will do.

The new version has a lot of cool new features, like advanced data import, integration with Google docs, converting variables from numeric to factor to dates and vice versa, and a lot of new geom’s. Some of which you can watch in his new video demo of the application:

The application is on:
http://www.yeroon.net/ggplot2/

p.s: other posts about this (including videos explaining how some of this was done) can be views on the category page: R and the web

My wife is a big lover of dance (especially Dance In Israel), and while reading through the NYtimes article: “To Impress, Tufts Prospects Turn to YouTube“, she found me a pearl: A woman performing interpretive dances for math/statistical plots. That includes small dance for: scatter plots, boxplots, barplots and a few others. Enjoy:

Duncan Murdoch just posted a youtube video presenting an animation clip of a 3d rgl object.

Duncan even went further and wrote an explanation on how he made the video:

here are the steps I used:
1.  Design a shape to be displayed, and then play with the animation functions to make it change over time.  Use play3d to do it live in R, movie3d to write the individual frames of the movie to .png files.
2.  Use the ffmpeg package (not an R package, a separate project at http://ffmpeg.org) to convert the .png files to an .mp4 file.  The individual frames totalled about 1 GB; the compressed movie is about 45 MB.
3.  Upload to Youtube.  I’m not a musician, so I had to use one of their licensed background tracks, I couldn’t write my own.  I spent a lot of time picking one and then adjusting the timing of the video to compensate.  Each render/upload cycle at full resolution took about an hour and a half.  It’s a lot faster to render in a smaller window with fewer frames per second, but it’s still tedious.   It’s easier to synchronize if you actually have a copy of the music locally, but Youtube doesn’t let you download their music.  So the timing isn’t perfect, but it’s good enough for me!

Wonderful work Duncan, thanks for sharing!